Decision makers in ports and airports are working in an extremely complex environment. decisions involve multiple actors, who all have a different view on the system under investigation, and on the effectiveness and d...
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ISBN:
(纸本)0780395190
Decision makers in ports and airports are working in an extremely complex environment. decisions involve multiple actors, who all have a different view on the system under investigation, and on the effectiveness and desirability of possible outcomes of the decision making process. simulation and visualization are two core technologies to support these complex decision making processes. One of the major challenges is to provide the variety of involved actors with visualizations that fit their view on the system. Two case studies show that the visualizations should be able to provide two views on decision making: a view on the system under investigation and a view on the multi-actor decision making process itself. This paper presents the requirements for a service-oriented and web-based simulation and visualization portal, which integrates both views. In cooperation with the Port of Rotterdam we are currently developing and testing a prototype implementation of the portal.
There is a wide range of opinion regarding historical and theoretical causes of bank panics and financial crises. Current theory, and theory-based models, find little support in the historical record. This paper exami...
ISBN:
(纸本)9781479939503;9781479920778
There is a wide range of opinion regarding historical and theoretical causes of bank panics and financial crises. Current theory, and theory-based models, find little support in the historical record. This paper examines previous empirical findings based in detailed banking records and offers several new results based on detailed bank data from 1893 Helena, Montana. These findings suggest modeling bank panics as psycho-social events. The Bank Depositor Model (BDM) builds upon a model previously designed to examine emotions within a group (Bosse et al., 2009). BDM represents bank depositor behavior as resulting from a combination of heterogeneous agent (depositor) attributes, views expressed by those in an agents social network and exogenous events that may alter an agents receptiveness to positive or negative views. Initial results conform with the described empirical facts.
In this paper we present the use of "what-if"-analysis in simulation games for spatial decision making by introducing the concept of multiple worlds. We expect that "what-if"-analysis in games enab...
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ISBN:
(纸本)9781424427079
In this paper we present the use of "what-if"-analysis in simulation games for spatial decision making by introducing the concept of multiple worlds. We expect that "what-if"-analysis in games enables the trainees to achieve more robust results, which is defined as the ability to achieve the required goals given different scenarios. Scenarios are defined as exogenous variables on the multiple worlds. Viable decisions for a particular world are assessed by splitting the given world into multiple ones and running simulations for these new worlds. This assessment is performed by a) comparing the alternatives re resented by each world and b) exploring the timeline of each world by selecting specific time instants. The navigation both through multiple worlds and through time should provide the users the possibility to formulate a robust answer for the specified problem. We will present a viable architecture and 4 distinct modes of game-play for the simulation game.
Due to the transition towards a sustainable energy supply, many electricity generation systems are faced with great challenges worldwide. Highly volatile renewable energy sources play an important role in the future e...
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ISBN:
(纸本)9781479939503;9781479920778
Due to the transition towards a sustainable energy supply, many electricity generation systems are faced with great challenges worldwide. Highly volatile renewable energy sources play an important role in the future electricity generation mix and should help compensate the phase-out of nuclear power in countries such as Germany. simulation-based energy system analyses can support the conversion into a sustainable future energy system and are intended to find risks and miscalculations. In this paper we present models for the main components of the electricity generation system. We use a hybrid simulation approach with system dynamics and discrete event modules. This modular design allows quick model adoptions for different scenarios. simulation results show the development of the future annual electricity balance, CO2 emission balance, electricty imports and exports, and the wholesale price of electricity.
The United Network for Organ Sharing is planning to resolve the ever-growing geographic disparities in kidney transplantation. Currently available simulation techniques are limited in their ability to analyze the impa...
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ISBN:
(纸本)9781479939503;9781479920778
The United Network for Organ Sharing is planning to resolve the ever-growing geographic disparities in kidney transplantation. Currently available simulation techniques are limited in their ability to analyze the impact of policy changes at the system level. This paper discusses the development of a discrete event simulation of the kidney transplantation system, KSIM. KSIM design is discussed and can easily be adapted to test alternative geographic organ allocation policies. Input analysis employing actual transplantation system data was conducted to best represent patient and organ arrival processes. After discussing our model, we briefly describe how KSIM was verified and validated against twenty years of actual transplantation system information. We also describe the potential usability of KSIM in organ allocation policy development.
This paper studies the semi-Markov decision process (SMDP) under the long-run average reward criterion in the simulation-based context. Using dynamic programming, a straightforward approach for solving this problem in...
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ISBN:
(纸本)9781479939503;9781479920778
This paper studies the semi-Markov decision process (SMDP) under the long-run average reward criterion in the simulation-based context. Using dynamic programming, a straightforward approach for solving this problem involves policy iteration;a value iteration approach for this problem involves a transformation that induces an additional computational burden. In the simulation-based context, however, where one seeks to avoid the transition probabilities needed in dynamic programming, value iteration forms a more convenient route for solution purposes. In this paper, hence, we present (to the best of knowledge for the first time) a relative value iteration algorithm for solving average reward SMDPs via simulation. The algorithm is a semi-Markov extension of an algorithm in the literature for the Markov decision process. Our numerical results with the new algorithm are very encouraging.
In this paper, we illustrate how massive agent-based simulation can be used to investigate an exciting new application domain of experience management in theme parks, which covers topics like congestion control, incen...
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ISBN:
(纸本)9781479939503;9781479920778
In this paper, we illustrate how massive agent-based simulation can be used to investigate an exciting new application domain of experience management in theme parks, which covers topics like congestion control, incentive design, and revenue management. Since all visitors are heterogeneous and self-interested, we argue that a high-quality agent-based simulation is necessary for studying various problems related to experience management. As in most agent-base simulations, a sound understanding of micro-level behaviors is essential to construct high-quality models. To achieve this, we designed and conducted a first-of-its-kind real-world experiment that helps us understand how typical visitors behave in a theme-park environment. From the data collected, visitor behaviors are quantified, modeled, and eventually incorporated into a massive agent-based simulation where up to 15,000 visitor agents are modeled. Finally, we demonstrate how our agent-based simulator can be used to understand the crowd build-up and the impacts of various control policies on visitor experience.
Firefighting resource management is crucial to contain and extinguish wildfires. Resource optimization in wildfire containment can help to reduce the dangers and risks to both human (firemen and area inhabitants) and ...
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ISBN:
(纸本)9781479939503;9781479920778
Firefighting resource management is crucial to contain and extinguish wildfires. Resource optimization in wildfire containment can help to reduce the dangers and risks to both human (firemen and area inhabitants) and natural environment. The use of simulation to predict wildfire evolution combined with optimization techniques can lead to an optimal resource deployment and management to minimize natural and human risks. This article proposes a simulation and optimization architecture;a well-defined data format to represent firefighting resources and an experimental platform to simulate wildfire spread, wildfire containment, resource dispatching and management and resource optimization. The simulation and optimization environment will be tested in the Catalonia region (Spain) in collaboration with Catalan Firefight Department.
Vietnamese industrialists have understood that simulation studies can help to form a more reliable manufacturing line than conventional methods that for the most based upon engineering experiences. However, the use of...
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Catastrophic events such as hurricanes, earthquakes or floods require emergency responders to rapidly distribute emergency relief supplies to protect the health and lives of victims. In this paper we develop a simulat...
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ISBN:
(纸本)9781479939503;9781479920778
Catastrophic events such as hurricanes, earthquakes or floods require emergency responders to rapidly distribute emergency relief supplies to protect the health and lives of victims. In this paper we develop a simulation and optimization framework for managing the logistics of distributing relief supplies in a multi-tier supply network. The simulation model captures optimized stocking of relief supplies, distribution operations at federal or state-operated staging facilities, demand uncertainty, and the dynamic progression of disaster response operations. We apply robust optimization techniques to develop optimized stocking policies and dispatch of relief supplies between staging facilities and points of distribution. The simulation framework accommodates a wide range of disaster scenarios and stressors, and helps assess the efficacy of response plans and policies for better disaster response.
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